Which neighbourhood factors most consistently impact on depression and anxiety remains unclear. This study examines whether objectively obtained socioeconomic, physical and social aspects of the neighbourhood in which persons live are associated with the presence and severity of depressive and anxiety disorders.

Cross-sectional data are from the Netherlands Study of Depression and Anxiety including participants (n = 2980) with and without depressive and anxiety disorders in the past year (based on DSM-based psychiatric interviews). We also determined symptom severity of depression (Inventory of Depression Symptomatology), anxiety (Beck Anxiety Inventory) and fear (Fear Questionnaire). Neighbourhood characteristics comprised socioeconomic factors (socioeconomic status, home value, number of social security beneficiaries and percentage of immigrants), physical factors (air pollution, traffic noise and availability of green space and water) and social factors (social cohesion and safety). Multilevel regression analyses were performed with the municipality as the second level while adjusting for individual sociodemographic variables and household income.

Not urbanization grade, but rather neighbourhood socioecononomic factors (low socioeconomic status, more social security beneficiaries and more immigrants), physical factors (high levels of traffic noise) and social factors (lower social cohesion and less safety) were associated with the presence of depressive and anxiety disorders. Most of these neighbourhood characteristics were also associated with increased depressive and anxiety symptoms severity.

These findings suggest that it is not population density in the neighbourhood, but rather the quality of socioeconomic, physical and social neighbourhood characteristics that is associated with the presence and severity of affective disorders.

Traditional variables used to explain survival following out-of-hospital cardiac arrest (OHCA) account for only 72% of survival, suggesting that other unknown factors may influence outcomes. Research on other diseases suggests that neighbourhood factors may partly determine health outcomes. Yet, this approach has rarely been used for OHCA. This work outlines a methodology to investigate multiple neighbourhood factors as determinants of OHCA outcomes.

A retrospective, observational cohort study design will be used. All adult non-emergency medical service witnessed OHCAs of cardiac etiology within the city of Toronto between 2006 and 2010 will be included. Event details will be extracted from the Toronto site of the Resuscitation Outcomes Consortium Epistry—Cardiac Arrest, an existing population-based dataset of consecutive OHCA patients. Geographic information systems technology will be used to assign patients to census tracts. Neighbourhood variables to be explored include the Ontario Marginalization Index (deprivation, dependency, ethnicity, and instability), crime rate, and density of family physicians. Hierarchical logistic regression analysis will be used to explore the association between neighbourhood characteristics and 1) survival-to-hospital discharge, 2) return-of-spontaneous circulation at hospital arrival, and 3) provision of bystander cardiopulmonary resuscitation (CPR). Receiver operating characteristics curves will evaluate each model’s ability to discriminate between those with and without each outcome.

This study will determine the role of neighbourhood characteristics in OHCA and their association with clinical outcomes. The results can be used as the basis to focus on specific neighbourhoods for facilitating educational interventions, CPR awareness programs, and higher utilization of automatic defibrillation devices.

There is growing interest in how the physical environment influences obesity. Few studies have considered how the food retail environment surrounding schools influences overweight in students.

To determine whether there is a relationship between food retailers surrounding schools and overweight among Canadian youth.

Cross-sectional study.

The number of food retailers was obtained within a 1 km and 5 km radius around 178 schools in Canada. Retailers included full-service restaurants, fast-food restaurants, sub/sandwich retailers, doughnut/coffee shops, convenience stores and grocery stores. An index of total food retailer exposure was also created. Multilevel analyses were used to control for individual- and area-level covariates.

None of the individual food retailers was associated with an increased likelihood of overweight. The total food retailer index was most strongly related to overweight, but in the opposite direction to that hypothesized. At 1 km, students attending schools with at least one food retailer had a lower relative odds of overweight (OR = 0·70, 95 % CI 0·61, 0·81). At 5 km, students attending schools with the highest exposure to the total food retailer index had a lower relative odds of overweight (OR = 0·56, 95 % CI 0·47, 0·68) compared with students attending schools with no exposure.

Exposure to various types of food retailers in school neighbourhoods was not associated with an increased likelihood of overweight in Canadian school-aged youth. The opportunity to make healthy choices from a variety of options and the unique Canadian context may explain the findings.

Recent studies have shown a correlation between environmental pollutants and increased risk of selected congenital malformations. The South-East area of the Island of Malta is much more industrialised than the more rural North-West area. The aim of this study was to test the null hypothesis that there are no regional differences in Malta in the prevalence at birth of congenital cardiac malformations. Methods: Live born infants with congenital cardiac malformations born between 1990 and 1994 were allocated to 10 areas, and thence to 2 regions of 5 areas each, so as to constitute North-West and South-East Malta. Official publications gave population totals and growth rates. Those infants with congenital cardiac malformations were then compared between the different regions using χ2 and the Mann-Whitney U test.

The overall prevalence of congenital heart disease at birth was 8.8/1000 live births. The birth prevalence for the South-East region (10.1/1000 LB – 95% CI 8.4–12.3/1000 live births) was significantly higher than for the North-West (7.4/1000 live births – 95% CI 6.0–9.0/1000 live births) – p=0.03, Odds ratio 1.38 (95% CI 1.05–2.61). The Mann-Whitney U test showed a significant difference in the distribution amongst the 10 defined areas (p=0.016). The Central-East area had the highest prevalence of cardiac malformations in the entire Island – p=0.02, Odds ratio 1.70 (95% CI 1.10–2.61). Demography showed an efflux of individuals from the South-East of Malta.

The higher prevalence of congenital heart disease noted at birth in South-East Malta is unlikely to be due to genetic factors, as these would have migrated North-West along with the population movement. An environmental factor, therefore, seems more likely to be responsible for the increased predisposition to congenital heart disease in the South-East of Malta.